# YNU

> Use this tool when you need to create a custom server for exposing tools and resources to AI assistants, solving problems of modular integration and extensibility. It provides a framework for dynamic module loading, environment-based configuration, and multi-protocol transport, accepting inputs such as configuration data and user requests, and outputting structured prompts and resource data. Use MCP-YNU in contexts where you need to bridge AI assistants with various backend services, such as code review, error debugging, or data fetching.

Canonical page: https://skillsregistry.net/skills/ynu  
JSON: https://api.skillsregistry.net/v1/skills/ynu

## Description

MCP-YNU is a server implementation that provides a modular framework for exposing tools, resources, and prompts to AI assistants. Built with FastMCP, it features dynamic module loading from configured directories, environment-based configuration, and support for both stdio and SSE transport protocols. The implementation includes example tools for BMI calculation and weather fetching, resources for configuration and user profile data, and structured prompts for code review and error debugging. With its clean architecture and extensibility, MCP-YNU serves as an ideal foundation for developers looking to create custom MCP servers that bridge AI assistants with various backend services.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ynu)
- **Repository:** <https://github.com/ynu/mcp-ynu>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ynu"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ynu` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ynu/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt